From 024c9eb0295f50496a69fb7131ec3e567b42aa20 Mon Sep 17 00:00:00 2001 From: Patrick Foley Date: Thu, 5 May 2022 10:55:46 -0700 Subject: [PATCH] Added instructions for git lfs installation (necessary to download pretrained model) --- Task_1/README.md | 16 +++++++++------- 1 file changed, 9 insertions(+), 7 deletions(-) diff --git a/Task_1/README.md b/Task_1/README.md index 8cad412..cfc1b17 100644 --- a/Task_1/README.md +++ b/Task_1/README.md @@ -8,6 +8,7 @@ Please ask any additional questions in our discussion pages on our github site a ### System requirements 1. [Git](https://git-scm.com/downloads). +2. [Git LFS](https://github.com/git-lfs/git-lfs#downloading) 2. Python with virtual environment management system: we recommend using [Anaconda](https://www.anaconda.com/products/individual). 3. **Windows- Only**: Pickle5 requires Microsoft C++ 14.0 or greater from the [C++ build tools](https://visualstudio.microsoft.com/visual-cpp-build-tools/). @@ -16,18 +17,19 @@ Please ask any additional questions in our discussion pages on our github site a 1. Register for the FeTS 2022 Challenge [here](https://www.synapse.org/#!Synapse:syn28546456/wiki/617093) and submit a data request. 2. ```git clone https://github.com/FETS-AI/Challenge.git``` 3. ```cd Challenge/Task_1``` -4. Create virtual environment (python 3.6-3.8): using Anaconda, a new environment can be created and activated using the following commands: +4. ```git lfs pull``` +5. Create virtual environment (python 3.6-3.8): using Anaconda, a new environment can be created and activated using the following commands: ```bash ## create venv in specific path conda create -p ./venv python=3.7 -y conda activate ./venv ``` -5. ```pip install --upgrade pip``` -6. Install Pytorch LTS (1.8.2) for your system using [these instructions](https://pytorch.org/get-started/locally/) -7. ```pip install .``` -8. ```python FeTS_Challenge.py``` -9. All lower-level details are in the [FeTS Challenge python file](./FeTS_Challenge.ipy) -10. To view intermediate results with TensorBoard during training, you can run the following command: +6. ```pip install --upgrade pip``` +7. Install Pytorch LTS (1.8.2) for your system using [these instructions](https://pytorch.org/get-started/locally/) +8. ```pip install .``` +9. ```python FeTS_Challenge.py``` +10. All lower-level details are in the [FeTS Challenge python file](./FeTS_Challenge.ipy) +11. To view intermediate results with TensorBoard during training, you can run the following command: ```tensorboard --logdir ~/.local/workspace/logs/tensorboard``` ## Time to Convergence Metric (formerly "communication cost")